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Hello team,
great work.
I had one doubt, during fine tuning, What is used as ground truth to calculate the loss against the masks generated by SAM with any prompt?
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I see that there is segmentaion camera, that ouputs labels/masks for the instance and semantic segmentation. This is based on the 2D images, Is there any way to get 2D masks from the depth camera outp…
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I am trying to use COCO 2014 data for semantic segmentation training in PyTorch. I have a PSPNet model with a Cross Entropy loss function that worked perfectly on PASCAL VOC dataset from 2012. Now I a…
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# Deeplab 图像分割方法
参考博客:
* [图像分割方法deeplab以及Hole算法解析](http://blog.csdn.net/tangwei2014/article/details/50453334)
* [FCN:Fully Convolutional Networks for Semantic Segmentation](http://blog.csdn.net/tan…
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I'm using unet for semantic segmentation but my model is overfitting, so can I add a dropout layer for unet because I think that there isn't .
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环境:截止2020年5月17日
模块:paddlehub人像分割模块
PaddleHub/hub_module/modules/image/semantic_segmentation/deeplabv3p_xception65_humanseg
错误现象:数据量很大的情况下内存溢出
错误原因分析:该模块进行分割时,能够设置batch size ,使用少量多次的办法处理图像,但是返回值是一次…
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in the paper of fcn(Fully convolutional networks for semantic segmentation),the authors report that they can get 62.2 mIOU(fcn-8s) on VOC2012 test. But your result of fcn can not reach that level. I a…
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# Instance Segmentation 实例分割
## Reference
- [Instance Segmentation入门总结](https://www.cnblogs.com/Xiaoyan-Li/p/10156463.html)
- [进展综述 - 单阶段实例分割(Single Shot Instance Segmentation)](https://zhuanlan.…
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```
Traceback (most recent call last):
File "train.py", line 82, in
main(config)
File "train.py", line 60, in main
trainer.train()
File "/opt/ml/segmentation/semantic-segmentation…
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I submitted it according to the format for 3d semantic segmentation. I don't know where the processing occurs. Please tell me what these four files are respectively?
Thanks!!!
Dear benchmark user,…